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- Tasks: Design and build production-grade ML platforms for real-world applications.
- Company: Innovative consultancy focused on cutting-edge machine learning solutions.
- Benefits: Remote work flexibility, competitive pay, and opportunities for professional growth.
- Why this job: Join a team that transforms ML models into scalable solutions with real impact.
- Qualifications: Strong MLOps experience and expertise in MLflow required.
- Other info: Dynamic role with occasional travel to client sites for hands-on collaboration.
The predicted salary is between 48000 - 72000 £ per year.
An innovative consultancy is seeking a senior Contract MLOps Engineer to design and build production-grade machine learning platforms. The role focuses on ML enablement rather than model research.
Key responsibilities include:
- Ensuring models can be trained, deployed, and monitored effectively in production environments.
The ideal candidate should possess strong MLOps experience and deep knowledge of MLflow, with a proven track record of turning models into scalable solutions. This remote position may require occasional travel to client sites.
Remote MLOps Engineer for Production ML Platforms in London employer: Inara
Contact Detail:
Inara Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote MLOps Engineer for Production ML Platforms in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the MLOps space and let them know you're on the lookout for opportunities. Sometimes, a friendly chat can lead to job openings that aren't even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your MLOps projects, especially those involving MLflow. This will give potential employers a clear view of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common MLOps scenarios. Think about how you've tackled challenges in deploying and monitoring models in production. We want you to shine when it comes to discussing your experience!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Remote MLOps Engineer for Production ML Platforms in London
Some tips for your application 🫡
Show Off Your MLOps Skills: Make sure to highlight your experience with MLOps and MLflow in your application. We want to see how you've turned models into scalable solutions, so share specific examples that showcase your expertise.
Tailor Your Application: Don’t just send a generic application! We love it when candidates tailor their CVs and cover letters to the role. Mention how your skills align with our focus on production-grade machine learning platforms.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that make it easy for us to see your qualifications and experience without wading through unnecessary fluff.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Inara
✨Know Your MLOps Inside Out
Make sure you brush up on your MLOps knowledge, especially around MLflow. Be ready to discuss how you've previously designed and built production-grade machine learning platforms. Prepare specific examples of how you've turned models into scalable solutions.
✨Showcase Your Problem-Solving Skills
During the interview, be prepared to tackle hypothetical scenarios related to model deployment and monitoring. Think about challenges you've faced in production environments and how you overcame them. This will demonstrate your practical experience and problem-solving abilities.
✨Understand the Consultancy's Approach
Research the consultancy's projects and their approach to MLOps. Familiarise yourself with their clients and the industries they serve. This will help you tailor your responses and show that you're genuinely interested in how you can contribute to their success.
✨Prepare for Remote Work Dynamics
Since this is a remote position, be ready to discuss your experience with remote collaboration tools and practices. Highlight any previous remote work experiences and how you effectively communicated and collaborated with teams across different locations.
